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Sensor networks have recently come into prominence because they hold the potential to revolutionize a wide spectrum of both civilian and military applications. An ingenious characteristic of sensor networks is the distributed nature of data acquisition. Therefore they seem to be ideally prepared for the task of monitoring processes with spatio-temporal dynamics which constitute one of most general and important classes of systems in modelling of the real-world phenomena. It is clear that careful deployment and activation of sensor nodes are critical for collecting the most valuable information from the observed environment. Optimal Sensor Network Scheduling in Identification of Distributed Parameter Systems discusses the characteristic features of the sensor scheduling problem, analyzes classical and recent approaches, and proposes a wide range of original solutions, especially dedicated for networks with mobile and scanning nodes. Both researchers and practitioners will find the case studies, the proposed algorithms, and the numerical examples to be invaluable.
Mechanical Engineering --- Engineering & Applied Sciences --- Mechanical Engineering - General --- Distributed parameter systems. --- Computer scheduling. --- Sensor networks. --- Networks, Sensor --- Electronic data processing --- Processor scheduling (Electronic data processing) --- Scheduling of electronic data processing --- Systems, Distributed parameter --- Scheduling --- Engineering. --- System theory. --- Control engineering. --- Control. --- Systems Theory, Control. --- Detectors --- Context-aware computing --- Multisensor data fusion --- Production scheduling --- Time-sharing computer systems --- Control theory --- Engineering systems --- System analysis --- Systems theory. --- Control and Systems Theory. --- Systems, Theory of --- Systems science --- Science --- Control engineering --- Control equipment --- Engineering instruments --- Automation --- Programmable controllers --- Philosophy
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One of the most challenging issues in modelling today's large-scale computational systems is to effectively manage highly parametrised distributed environments such as computational grids, clouds, ad hoc networks and P2P networks. Next-generation computational grids must provide a wide range of services and high performance computing infrastructures. Various types of information and data processed in the large-scale dynamic grid environment may be incomplete, imprecise, and fragmented, which complicates the specification of proper evaluation criteria and which affects both the availability of resources and the final collective decisions of users. The complexity of grid architectures and grid management may also contribute towards higher energy consumption. All of these issues necessitate the development of intelligent resource management techniques, which are capable of capturing all of this complexity and optimising meaningful metrics for a wide range of grid applications. This book covers hot topics in the design, administration and management of dynamic grid environments with a special emphasis on the preferences and autonomous decisions of system users, secure access to the processed data and services, and application of green technologies. It features advanced research related to scalable genetic-based heuristic approaches to grid scheduling, whereby new scheduling criteria, such as system reliability, security, and energy consumption are incorporated into a general scheduling model. This book may be a valuable reference for students, researchers, and practitioners who work on – or who are interested in joining -- interdisciplinary research efforts in the areas of distributed and evolutionary computation. .
Engineering & Applied Sciences --- Computer Science --- Computational grids (Computer systems) --- Computational intelligence. --- Computer scheduling. --- Electronic data processing --- Processor scheduling (Electronic data processing) --- Scheduling of electronic data processing --- Intelligence, Computational --- Grid computing --- Grids, Computational (Computer systems) --- Scheduling --- Engineering. --- Artificial intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Production scheduling --- Time-sharing computer systems --- Computer systems --- Cyberinfrastructure --- Artificial Intelligence.
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Given the widespread use of real-time multitasking systems, there are tremendous optimization opportunities if reconfigurable computing can be effectively incorporated while maintaining performance and other design constraints of typical applications. The focus of this book is to describe the dynamic reconfiguration techniques that can be safely used in real-time systems. This book provides comprehensive approaches by considering synergistic effects of computation, communication as well as storage together to significantly improve overall performance, power, energy and temperature. Provides a comprehensive introduction to optimization and dynamic reconfiguration techniques in real-time embedded systems; Covers state-of-the-art techniques and ongoing research in reconfigurable architectures; Focuses on algorithms tuned for dynamic reconfiguration techniques in real-time systems; Provides reference for anyone designing low-power systems, energy-/temperature-constrained devices, and power-performance efficient systems which execute tasks with timing constraints. .
Systems programming (Computer science) --- Computer scheduling. --- Macro processors. --- Embedded computer systems. --- Embedded systems (Computer systems) --- Macroprocessors --- Processors, Macro --- Electronic data processing --- Processor scheduling (Electronic data processing) --- Scheduling of electronic data processing --- System programming (Computer science) --- Scheduling --- Engineering. --- Energy. --- Microprocessors. --- Electronic circuits. --- Circuits and Systems. --- Processor Architectures. --- Energy, general. --- Computer systems --- Architecture Analysis and Design Language --- Macroprogramming --- Assembling (Electronic computers) --- Compiling (Electronic computers) --- Translators (Computer programs) --- Production scheduling --- Time-sharing computer systems --- Computer programming --- Systems engineering. --- Computer science. --- Informatics --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Design and construction --- Minicomputers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics
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